GIOS Technology
Senior Data Analyst - (SQL/Python/ADF/Databricks/insurance)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in London, UK (hybrid 2-3 days weekly) with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, ADF, Databricks, and insurance data experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 25, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Data Design #Data Mapping #Data Quality #Data Profiling #Datasets #ADF (Azure Data Factory) #Data Analysis #Azure #Data Lineage #"ETL (Extract #Transform #Load)" #Python #Databricks #SQL (Structured Query Language) #Azure Data Factory #Agile
Role description
I am hiring for Senior Data Analyst - (SQL/Python/ADF/Databricks/insurance)
Location: London, UK Hybrid - 2-3 weekly
Job Description:
• Perform data profiling, mapping, and data quality analysis on complex insurance datasets across policy, claims, quotes, and pricing systems.
• Analyze source-to-target data flows and translate business requirements into technical data mappings in collaboration with Data Designers.
• Execute data quality checks and validations to ensure accuracy, completeness, and consistency of data.
• Document data lineage, transformation logic, and data quality rules in a structured and auditable manner.
• Support the development of data quality dashboards and reconciliation reports.
• Participate in sprint planning, agile ceremonies, and timely delivery of data artefacts.
Key Skills:
SQL, Python, Azure Data Factory, Databricks, Data Profiling, Data Quality, Insurance Data, Agile, Data Mapping
I am hiring for Senior Data Analyst - (SQL/Python/ADF/Databricks/insurance)
Location: London, UK Hybrid - 2-3 weekly
Job Description:
• Perform data profiling, mapping, and data quality analysis on complex insurance datasets across policy, claims, quotes, and pricing systems.
• Analyze source-to-target data flows and translate business requirements into technical data mappings in collaboration with Data Designers.
• Execute data quality checks and validations to ensure accuracy, completeness, and consistency of data.
• Document data lineage, transformation logic, and data quality rules in a structured and auditable manner.
• Support the development of data quality dashboards and reconciliation reports.
• Participate in sprint planning, agile ceremonies, and timely delivery of data artefacts.
Key Skills:
SQL, Python, Azure Data Factory, Databricks, Data Profiling, Data Quality, Insurance Data, Agile, Data Mapping
